Bitget has unveiled a substantial upgrade to its Agent Hub, a platform designed to consolidate advanced crypto trading infrastructure tailored for developers and Vibe Coders in the burgeoning AI era. This enhancement introduces two pivotal components: Skills and a command-line interface (CLI), thereby completing a comprehensive invocation stack that incorporates the Model Context Protocol (MCP) support along with REST and WebSocket APIs unveiled the previous month.
This integration of MCP, API, Skills, and CLI creates a cohesive pathway that interlinks AI models, developer tools, and practical trading execution. This synergy significantly reduces friction for developers and AI agents, allowing them to seamlessly access market data, implement trading strategies, and carry out transactions.
A key feature of this upgrade is the newly-launched Skills mechanism, which empowers AI agents like Claude Code and OpenClaw to intuitively interpret user trading intents and initiate real-time actions through Bitget Command (bgc). This feature employs a standardized JSON output to ensure smooth integration for scripts, data pipelines, and AI agent workflows at the system level, facilitating a nearly effortless transition from analysis to action.
Following this upgrade, the Bitget Agent Hub now boasts nine core capability modules and a total of 58 tools. Developers can integrate Bitget Agent Hub with OpenClaw within approximately three minutes through a straightforward, three-step configuration process. Once the connection is established, AI agents gain direct access to real-time market data, as well as functionalities related to spot and futures trading, and account and asset management. This evolution aims to foster intelligent trading agents that can autonomously monitor markets, implement strategies, and execute trades for a more efficient trading experience.
Gracy Chen, CEO of Bitget, emphasized the company’s strategic focus on integrating AI into their trading infrastructure. “AI is the tool to translate intent into execution with speed and clarity. With AI, our mission is to empower 125 million users and beyond to trade like Wall Street professionals,” Chen stated. She noted that while AI-driven trading still necessitates further education and trust, the moment of transformation in this domain is imminent.
Previously, in an upgrade rolled out in mid-February 2026, Bitget had introduced native support for the Model Context Protocol (MCP), allowing AI models to directly engage Bitget’s trading capabilities. This arrangement enables AI agents to harness real-time market data and execute trades, transitioning seamlessly from analysis to actionable participation in the market.
Moreover, Bitget’s REST and WebSocket API suite, noted for its low-latency, covers a wide spectrum of trading options, including spot, futures, and copy trading. This provides a robust foundation for developers to create automated trading systems, craft quantitative strategies, and develop applications designed specifically for AI-native trading.
As Bitget understands the challenges of AI trading, it aims to establish a comprehensive AI-native trading infrastructure. The Agent Hub acts as a singular entry point for AI interactions on the exchange, supporting a complete journey from natural-language commands to live order execution, all while offering a scalable ecosystem.
